AI-powered Floor Plan

Revolutionizing Facility Management - AI-Powered Floor Plan Creation Software


This section introduces an innovative AI-powered floor plan creation software that utilizes Computer Vision and AI algorithms to enable users to generate accurate and detailed floor plans effortlessly. The software's core features include object and feature detection, real-time floor plan reconstruction, user feedback mechanisms, and self-learning capabilities. This paper outlines the technical implementation of the software, including code examples for key functionalities, and presents potential use cases in various industries.

1. Introduction:

Traditional floor plan creation processes are often time-consuming and labor-intensive, leading to challenges in efficient facility management and space utilization across industries. The AI-powered floor plan creation software by Qoodo offers a cutting-edge solution, empowering users to create accurate floor plans simply by using their mobile phones' cameras to walk around the unit.

2. Technical Overview:

2.1 Object Detection:
The software leverages Convolutional Neural Networks (CNNs) to identify crucial elements in the environment, such as walls, doors, windows, and furniture. The CNN model is trained using TensorFlow, an open-source machine learning framework. During training, the model learns to detect various objects based on annotated images.
2.2 Feature Detection:
Harris Corner Detection, a feature detection algorithm, is employed to identify corners and edges of objects critical for accurate floor plan reconstruction. This algorithm identifies keypoints in the image and detects unique features.
2.3 Real-Time Floor Plan Reconstruction:
As users navigate the unit with their mobile phones' cameras, the software performs real-time floor plan reconstruction. The object and feature detection models work in tandem to identify and place objects accurately within the floor plan.
2.4 User Feedback Mechanism:
To enhance the software's accuracy and performance, users can provide feedback on the generated floor plans. The feedback mechanism collects user annotations on the floor plans and refines the AI models accordingly.
2.5 Self-Learning Capability:
The software continuously improves its floor plan creation accuracy through reinforcement learning and online learning mechanisms. Reinforcement learning analyzes user feedback as rewards and updates model parameters accordingly, while online learning incorporates new data into the AI models for continuous improvement.

3. User Interface and Experience:

The mobile app's user interface provides a seamless floor plan creation experience. Users can easily annotate rooms, add dimensions, and customize the floor plan. The app's intuitive design enhances the user experience and simplifies the floor plan creation process.

4. Floor Plan Drawing by the System:

After object and feature detection, the software proceeds to reconstruct the floor plan with precision. The system utilizes the detected elements to position and align objects accurately, resulting in a professional and detailed floor plan.

5. Use Cases:

The AI-powered floor plan creation software caters to diverse industries, including catering, accommodation, manufacturing, emergency services, urban planning, healthcare, and educational institutions. In the catering industry, restaurant managers can optimize seating arrangements and space utilization for maximum efficiency. In manufacturing, facility managers can plan machinery layouts effectively. Emergency services can utilize accurate floor plans for better response strategies. Urban planners can optimize public spaces, and healthcare facilities can enhance patient flow and safety.

6. Conclusion:

Qoodo's AI-powered floor plan creation software revolutionizes facility management by providing a cutting-edge solution for accurate and efficient floor plan generation. With advanced Computer Vision and AI algorithms, users can effortlessly create detailed floor plans, streamline space utilization, and enhance facility management processes. The software's self-learning capability ensures continuous improvement, making it an indispensable tool across various industries.